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Tier-1 brand, metro location, and mid-level AI role increase candidate competition.
Core ML and LLM engineering skills are highly transferable across industries despite advisory context.
Explicit 3+ years requirement with technical expectations but many advanced skills listed as differentiators.
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Conduct rapid experiments to evaluate emerging AI tools and translate outcomes into client-ready insights.
Design, implement, and document AI experiments focusing on practical applicability and performance evaluation.
Develop and deploy machine learning workloads using cloud platforms and AI agent frameworks, maintaining high code standards.
Bachelor's degree required.
Minimum 3 years of relevant experience.
Proficiency in English (oral and written).
Proficient in Python including best coding practices and experience deploying workloads on Azure, AWS, or GCP.
Experience fine-tuning large language models using Parameter Efficient Fine Tuning techniques (e.g., LoRa).
Strong knowledge of model optimization techniques such as quantization and distillation, and familiarity with agent observability tools like Langfuse.
Ability to build automated testing pipelines and comfortable working in fast-paced, experimental AI research environments.